11. KDD 2005:
Chicago,
Illinois,
USA
Robert Grossman, Roberto J. Bayardo, Kristin P. Bennett (Eds.):
Proceedings of the Eleventh ACM SIGKDD International Conference on Knowledge Discovery and Data Mining, Chicago, Illinois, USA, August 21-24, 2005.
ACM 2005, ISBN 1-59593-135-X BibTeX
Invited Talks
Research Track Papers
- Rong Chen, Edward Herskovits:
A Bayesian network classifier with inverse tree structure for voxelwise magnetic resonance image analysis.
4-12
Electronic Edition (ACM DL) BibTeX
- Anirban Dasgupta, Ravi Kumar, Prabhakar Raghavan, Andrew Tomkins:
Variable latent semantic indexing.
13-21
Electronic Edition (ACM DL) BibTeX
- Jianping Fan, Hangzai Luo, Mohand-Said Hacid:
Mining images on semantics via statistical learning.
22-31
Electronic Edition (ACM DL) BibTeX
- Glenn Fung, Sathyakama Sandilya, R. Bharat Rao:
Rule extraction from linear support vector machines.
32-40
Electronic Edition (ACM DL) BibTeX
- Bin Gao, Tie-Yan Liu, Xin Zheng, QianSheng Cheng, Wei-Ying Ma:
Consistent bipartite graph co-partitioning for star-structured high-order heterogeneous data co-clustering.
41-50
Electronic Edition (ACM DL) BibTeX
- Aristides Gionis, Alexander Hinneburg, Spiros Papadimitriou, Panayiotis Tsaparas:
Dimension induced clustering.
51-60
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- Bart Goethals, Eveline Hoekx, Jan Van den Bussche:
Mining tree queries in a graph.
61-69
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- David Gondek, Thomas Hofmann:
Non-redundant clustering with conditional ensembles.
70-77
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- Daniel Gruhl, Ramanathan V. Guha, Ravi Kumar, Jasmine Novak, Andrew Tomkins:
The predictive power of online chatter.
78-87
Electronic Edition (ACM DL) BibTeX
- Sudipto Guha, Boulos Harb:
Wavelet synopsis for data streams: minimizing non-euclidean error.
88-97
Electronic Edition (ACM DL) BibTeX
- Shlomo Hershkop, Salvatore J. Stolfo:
Combining email models for false positive reduction.
98-107
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- Aleks Jakulin, Martin Mozina, Janez Demsar, Ivan Bratko, Blaz Zupan:
Nomograms for visualizing support vector machines.
108-117
Electronic Edition (ACM DL) BibTeX
- Szymon Jaroszewicz, Tobias Scheffer:
Fast discovery of unexpected patterns in data, relative to a Bayesian network.
118-127
Electronic Edition (ACM DL) BibTeX
- Aleksander Kolcz:
Local sparsity control for naive Bayes with extreme misclassification costs.
128-137
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- Jeremy Kubica, Andrew W. Moore, Andrew Connolly, Robert Jedicke:
A multiple tree algorithm for the efficient association of asteroid observations.
138-146
Electronic Edition (ACM DL) BibTeX
- Tilman Lange, Joachim M. Buhmann:
Combining partitions by probabilistic label aggregation.
147-156
Electronic Edition (ACM DL) BibTeX
- Aleksandar Lazarevic, Vipin Kumar:
Feature bagging for outlier detection.
157-166
Electronic Edition (ACM DL) BibTeX
- Gregor Leban, Minca Mramor, Ivan Bratko, Blaz Zupan:
Simple and effective visual models for gene expression cancer diagnostics.
167-176
Electronic Edition (ACM DL) BibTeX
- Jure Leskovec, Jon M. Kleinberg, Christos Faloutsos:
Graphs over time: densification laws, shrinking diameters and possible explanations.
177-187
Electronic Edition (ACM DL) BibTeX
- Tao Li:
A general model for clustering binary data.
188-197
Electronic Edition (ACM DL) BibTeX
- Qiaozhu Mei, ChengXiang Zhai:
Discovering evolutionary theme patterns from text: an exploration of temporal text mining.
198-207
Electronic Edition (ACM DL) BibTeX
- Srujana Merugu, Joydeep Ghosh:
A distributed learning framework for heterogeneous data sources.
208-217
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- Daniel B. Neill, Andrew W. Moore, Maheshkumar Sabhnani, Kenny Daniel:
Detection of emerging space-time clusters.
218-227
Electronic Edition (ACM DL) BibTeX
- Jian Pei, Daxin Jiang, Aidong Zhang:
On mining cross-graph quasi-cliques.
228-238
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- Filip Radlinski, Thorsten Joachims:
Query chains: learning to rank from implicit feedback.
239-248
Electronic Edition (ACM DL) BibTeX
- Saharon Rosset:
Robust boosting and its relation to bagging.
249-255
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- Mark Sandler:
On the use of linear programming for unsupervised text classification.
256-264
Electronic Edition (ACM DL) BibTeX
- Martin Scholz:
Sampling-based sequential subgroup mining.
265-274
Electronic Edition (ACM DL) BibTeX
- Ricardo Silva, Jiji Zhang, James G. Shanahan:
Probabilistic workflow mining.
275-284
Electronic Edition (ACM DL) BibTeX
- Antti Ukkonen, Mikael Fortelius, Heikki Mannila:
Finding partial orders from unordered 0-1 data.
285-293
Electronic Edition (ACM DL) BibTeX
- Muyuan Wang, Zhiwei Li, Lie Lu, Wei-Ying Ma, Naiyao Zhang:
Web object indexing using domain knowledge.
294-303
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- Xuan Hieu Phan, Minh Le Nguyen, Tu Bao Ho, Susumu Horiguchi:
Improving discriminative sequential learning with rare--but--important associations.
304-313
Electronic Edition (ACM DL) BibTeX
- Xifeng Yan, Hong Cheng, Jiawei Han, Dong Xin:
Summarizing itemset patterns: a profile-based approach.
314-323
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- Xifeng Yan, Xianghong Jasmine Zhou, Jiawei Han:
Mining closed relational graphs with connectivity constraints.
324-333
Electronic Edition (ACM DL) BibTeX
- Zhiqiang Yang, Sheng Zhong, Rebecca N. Wright:
Anonymity-preserving data collection.
334-343
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- Xiaoxin Yin, Jiawei Han, Philip S. Yu:
Cross-relational clustering with user's guidance.
344-353
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- Hwanjo Yu:
SVM selective sampling for ranking with application to data retrieval.
354-363
Electronic Edition (ACM DL) BibTeX
- Mohammed Javeed Zaki, Naren Ramakrishnan:
Reasoning about sets using redescription mining.
364-373
Electronic Edition (ACM DL) BibTeX
- Nan Zhang, Shengquan Wang, Wei Zhao:
A new scheme on privacy-preserving data classification.
374-383
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- Jing Zhou, Dean P. Foster, Robert A. Stine, Lyle H. Ungar:
Streaming feature selection using alpha-investing.
384-393
Electronic Edition (ACM DL) BibTeX
Industry/Government Track Papers
- George Forman, Kave Eshghi, Stephane Chiocchetti:
Finding similar files in large document repositories.
394-400
Electronic Edition (ACM DL) BibTeX
- Ryohei Fujimaki, Takehisa Yairi, Kazuo Machida:
An approach to spacecraft anomaly detection problem using kernel feature space.
401-410
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- Rayid Ghani:
Price prediction and insurance for online auctions.
411-418
Electronic Edition (ACM DL) BibTeX
- Natalie S. Glance, Matthew Hurst, Kamal Nigam, Matthew Siegler, Robert Stockton, Takashi Tomokiyo:
Deriving marketing intelligence from online discussion.
419-428
Electronic Edition (ACM DL) BibTeX
- Bin He, Kevin Chen-Chuan Chang:
Making holistic schema matching robust: an ensemble approach.
429-438
Electronic Edition (ACM DL) BibTeX
- Olfa Nasraoui, Cesar Cardona, Carlos Rojas:
Using retrieval measures to assess similarity in mining dynamic web clickstreams.
439-448
Electronic Edition (ACM DL) BibTeX
- Jennifer Neville, Özgür Simsek, David Jensen, John Komoroske, Kelly Palmer, Henry G. Goldberg:
Using relational knowledge discovery to prevent securities fraud.
449-458
Electronic Edition (ACM DL) BibTeX
- G. Niklas Norén, Roland Orre, Andrew Bate:
A hit-miss model for duplicate detection in the WHO drug safety database.
459-468
Electronic Edition (ACM DL) BibTeX
- Bhavani Raskutti, Alan Herschtal:
Predicting the product purchase patterns of corporate customers.
469-478
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- Xiaodan Song, Ching-Yung Lin, Belle L. Tseng, Ming-Ting Sun:
Modeling and predicting personal information dissemination behavior.
479-488
Electronic Edition (ACM DL) BibTeX
- Jie Tang, Hang Li, Yunbo Cao, ZhaoHui Tang:
Email data cleaning.
489-498
Electronic Edition (ACM DL) BibTeX
- Kenji Yamanishi, Yuko Maruyama:
Dynamic syslog mining for network failure monitoring.
499-508
Electronic Edition (ACM DL) BibTeX
- Lian Yan, Michael Fassino, Patrick Baldasare:
Enhancing the lift under budget constraints: an application in the mutual fund industry.
509-515
Electronic Edition (ACM DL) BibTeX
- Chunsheng Yang, Sylvain Létourneau:
Learning to predict train wheel failures.
516-525
Electronic Edition (ACM DL) BibTeX
Research Track Posters
- Charu C. Aggarwal:
Towards exploratory test instance specific algorithms for high dimensional classification.
526-531
Electronic Edition (ACM DL) BibTeX
- Arindam Banerjee, Chase Krumpelman, Joydeep Ghosh, Sugato Basu, Raymond J. Mooney:
Model-based overlapping clustering.
532-537
Electronic Edition (ACM DL) BibTeX
- Christopher Besemann, Anne Denton:
Integration of profile hidden Markov model output into association rule mining.
538-543
Electronic Edition (ACM DL) BibTeX
- Giuseppe Carenini, Raymond T. Ng, Xiaodong Zhou:
Scalable discovery of hidden emails from large folders.
544-549
Electronic Edition (ACM DL) BibTeX
- Xin Chen, Yi-fang Brook Wu:
Web mining from competitors' websites.
550-555
Electronic Edition (ACM DL) BibTeX
- Chien Chin Chen, Meng Chang Chen, Ming-Syan Chen:
LIPED: HMM-based life profiles for adaptive event detection.
556-561
Electronic Edition (ACM DL) BibTeX
- Shengnan Cong, Jiawei Han, David A. Padua:
Parallel mining of closed sequential patterns.
562-567
Electronic Edition (ACM DL) BibTeX
- Andrew Fast, David Jensen, Brian Neil Levine:
Creating social networks to improve peer-to-peer networking.
568-573
Electronic Edition (ACM DL) BibTeX
- Ramanathan V. Guha, Ravi Kumar, D. Sivakumar, Ravi Sundaram:
Unweaving a web of documents.
574-579
Electronic Edition (ACM DL) BibTeX
- Cinda Heeren, Leonard Pitt:
Maximal boasting.
580-585
Electronic Edition (ACM DL) BibTeX
- Takahiko Ito, Masashi Shimbo, Taku Kudo, Yuji Matsumoto:
Application of kernels to link analysis.
586-592
Electronic Edition (ACM DL) BibTeX
- Geetha Jagannathan, Rebecca N. Wright:
Privacy-preserving distributed k-means clustering over arbitrarily partitioned data.
593-599
Electronic Edition (ACM DL) BibTeX
- Ruoming Jin, Kaushik Sinha, Gagan Agrawal:
Simultaneous optimization of complex mining tasks with a knowledgeable cache.
600-605
Electronic Edition (ACM DL) BibTeX
- Ruoming Jin, Chao Wang, Dmitrii Polshakov, Srinivasan Parthasarathy, Gagan Agrawal:
Discovering frequent topological structures from graph datasets.
606-611
Electronic Edition (ACM DL) BibTeX
- Xin Jin, Yanzan Zhou, Bamshad Mobasher:
A maximum entropy web recommendation system: combining collaborative and content features.
612-617
Electronic Edition (ACM DL) BibTeX
- Noriaki Kawamae, Katsumi Takahashi:
Information retrieval based on collaborative filtering with latent interest semantic map.
618-623
Electronic Edition (ACM DL) BibTeX
- Moshe Koppel, Jonathan Schler, Kfir Zigdon:
Determining an author's native language by mining a text for errors.
624-628
Electronic Edition (ACM DL) BibTeX
- Inderjit S. Dhillon, Yuqiang Guan, Brian Kulis:
A fast kernel-based multilevel algorithm for graph clustering.
629-634
Electronic Edition (ACM DL) BibTeX
- Bo Long, Zhongfei (Mark) Zhang, Philip S. Yu:
Co-clustering by block value decomposition.
635-640
Electronic Edition (ACM DL) BibTeX
- Daniel Lowd, Christopher Meek:
Adversarial learning.
641-647
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- Sandeep Mane, Jaideep Srivastava, San-Yih Hwang:
Estimating missed actual positives using independent classifiers.
648-653
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- Michinari Momma:
Efficient computations via scalable sparse kernel partial least squares and boosted latent features.
654-659
Electronic Edition (ACM DL) BibTeX
- Fabian Mörchen, Alfred Ultsch:
Optimizing time series discretization for knowledge discovery.
660-665
Electronic Edition (ACM DL) BibTeX
- Satoshi Morinaga, Hiroki Arimura, Takahiro Ikeda, Yosuke Sakao, Susumu Akamine:
Key semantics extraction by dependency tree mining.
666-671
Electronic Edition (ACM DL) BibTeX
- Hans-Peter Kriegel, Martin Pfeifle:
Density-based clustering of uncertain data.
672-677
Electronic Edition (ACM DL) BibTeX
- Ellen Spertus, Mehran Sahami, Orkut Buyukkokten:
Evaluating similarity measures: a large-scale study in the orkut social network.
678-684
Electronic Edition (ACM DL) BibTeX
- Mihai Surdeanu, Jordi Turmo, Alicia Ageno:
A hybrid unsupervised approach for document clustering.
685-690
Electronic Edition (ACM DL) BibTeX
- Tao Tao, ChengXiang Zhai:
Mining comparable bilingual text corpora for cross-language information integration.
691-696
Electronic Edition (ACM DL) BibTeX
- Luís Torgo:
Regression error characteristic surfaces.
697-702
Electronic Edition (ACM DL) BibTeX
- Gang Wu, Edward Y. Chang, Navneet Panda:
Formulating distance functions via the kernel trick.
703-709
Electronic Edition (ACM DL) BibTeX
- Ying Yang, Xindong Wu, Xingquan Zhu:
Combining proactive and reactive predictions for data streams.
710-715
Electronic Edition (ACM DL) BibTeX
- Hui Yang, Srinivasan Parthasarathy, Sameep Mehta:
A generalized framework for mining spatio-temporal patterns in scientific data.
716-721
Electronic Edition (ACM DL) BibTeX
- Li Yang:
Building connected neighborhood graphs for isometric data embedding.
722-728
Electronic Edition (ACM DL) BibTeX
- Osmar R. Zaïane, Mohammad El-Hajj:
Pattern lattice traversal by selective jumps.
729-735
Electronic Edition (ACM DL) BibTeX
- Mohammed Javeed Zaki, Markus Peters, Ira Assent, Thomas Seidl:
CLICKS: an effective algorithm for mining subspace clusters in categorical datasets.
736-742
Electronic Edition (ACM DL) BibTeX
- Richard Cole, Dennis Shasha, Xiaojian Zhao:
Fast window correlations over uncooperative time series.
743-749
Electronic Edition (ACM DL) BibTeX
Industry/Government Track Posters
- Haifeng Chen, Guofei Jiang, Cristian Ungureanu, Kenji Yoshihira:
Failure detection and localization in component based systems by online tracking.
750-755
Electronic Edition (ACM DL) BibTeX
- Daniel R. Jeske, Behrokh Samadi, Pengyue J. Lin, Lan Ye, Sean Cox, Rui Xiao, Ted Younglove, Minh Ly, Douglas Holt, Ryan Rich:
Generation of synthetic data sets for evaluating the accuracy of knowledge discovery systems.
756-762
Electronic Edition (ACM DL) BibTeX
- Alex N. Kalos, Tim Rey:
Data mining in the chemical industry.
763-769
Electronic Edition (ACM DL) BibTeX
- Jiuyong Li, Ada Wai-Chee Fu, Hongxing He, Jie Chen, Huidong Jin, Damien McAullay, Graham J. Williams, Ross Sparks, Chris Kelman:
Mining risk patterns in medical data.
770-775
Electronic Edition (ACM DL) BibTeX
- Tao Li, Feng Liang, Sheng Ma, Wei Peng:
An integrated framework on mining logs files for computing system management.
776-781
Electronic Edition (ACM DL) BibTeX
- Xiang Li, Rahul Ramachandran, Sara J. Graves, Sunil Movva, Bilahari Akkiraju, David Emmitt, Steven Greco, Robert Atlas, Joseph Terry, Juan-Carlos Jusem:
Automated detection of frontal systems from numerical model-generated data.
782-787
Electronic Edition (ACM DL) BibTeX
- Ronald K. Pearson, Robert J. Kingan, Alan Hochberg:
Disease progression modeling from historical clinical databases.
788-793
Electronic Edition (ACM DL) BibTeX
- Valery A. Petrushin:
Mining rare and frequent events in multi-camera surveillance video using self-organizing maps.
794-800
Electronic Edition (ACM DL) BibTeX
- Rob Powers, Moisés Goldszmidt, Ira Cohen:
Short term performance forecasting in enterprise systems.
801-807
Electronic Edition (ACM DL) BibTeX
- Kaushal Sanghai, Ting Su, Jennifer G. Dy, David R. Kaeli:
A multinomial clustering model for fast simulation of computer architecture designs.
808-813
Electronic Edition (ACM DL) BibTeX
- Haixun Wang, Jian Pei, Philip S. Yu:
Pattern-based similarity search for microarray data.
814-819
Electronic Edition (ACM DL) BibTeX
Copyright © Sat May 16 23:27:57 2009
by Michael Ley (ley@uni-trier.de)
